Gabrielle Macaron

52 total papers · 474 total citations
27 papers, 293 citations indexed

About

Gabrielle Macaron is a scholar working on Pathology and Forensic Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Gabrielle Macaron has authored 27 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pathology and Forensic Medicine, 7 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Gabrielle Macaron's work include Multiple Sclerosis Research Studies (19 papers), Peripheral Neuropathies and Disorders (5 papers) and Polyomavirus and related diseases (4 papers). Gabrielle Macaron is often cited by papers focused on Multiple Sclerosis Research Studies (19 papers), Peripheral Neuropathies and Disorders (5 papers) and Polyomavirus and related diseases (4 papers). Gabrielle Macaron collaborates with scholars based in United States, Lebanon and Canada. Gabrielle Macaron's co-authors include Daniel Ontaneda, Mary Rensel, Jeffrey A. Cohen, Manikum Moodley, Sami Richa, Brandon Moss, Laura Baldassari, Stephen M. Rao, Kunio Nakamura and Dany Matar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and The Lancet Neurology.

In The Last Decade

Gabrielle Macaron

24 papers receiving 287 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabrielle Macaron 193 75 45 36 36 27 293
María Luisa Martínez‐Ginés 224 1.2× 67 0.9× 35 0.8× 25 0.7× 38 1.1× 30 314
Salvatore Cottone 194 1.0× 101 1.3× 36 0.8× 46 1.3× 25 0.7× 24 328
Antonio Ianniello 201 1.0× 112 1.5× 23 0.5× 31 0.9× 24 0.7× 28 330
José Meca-Lallana 229 1.2× 78 1.0× 24 0.5× 40 1.1× 40 1.1× 41 305
Paulo Diniz da Gama 188 1.0× 46 0.6× 21 0.5× 29 0.8× 49 1.4× 21 285
Verónica Rivas‐Alonso 144 0.7× 137 1.8× 22 0.5× 33 0.9× 61 1.7× 29 277
Tamara Kaplan 156 0.8× 73 1.0× 32 0.7× 23 0.6× 34 0.9× 39 296
Grace Gombolay 110 0.6× 171 2.3× 23 0.5× 27 0.8× 24 0.7× 41 306
Martina Petruzzo 211 1.1× 76 1.0× 16 0.4× 36 1.0× 17 0.5× 16 290
Reza Vosoughi 192 1.0× 107 1.4× 52 1.2× 55 1.5× 27 0.8× 22 352

Countries citing papers authored by Gabrielle Macaron

Since Specialization
Citations

This map shows the geographic impact of Gabrielle Macaron's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gabrielle Macaron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle Macaron more than expected).

Fields of papers citing papers by Gabrielle Macaron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle Macaron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gabrielle Macaron. The network helps show where Gabrielle Macaron may publish in the future.

Co-authorship network of co-authors of Gabrielle Macaron

This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Macaron. A scholar is included among the top collaborators of Gabrielle Macaron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabrielle Macaron. Gabrielle Macaron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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